System and methods for dynamically generating loyalty program communications based on a monitored physiological state

Patent metadata

Field	Value
Publication number	US-2016203497-A1
Application number	US-201514757622-A
Country	US
Kind code	A1
Filing date	Dec 23, 2015
Priority date	Dec 23, 2014
Publication date	Jul 14, 2016
Grant date	—

Abstract

A method of dynamically generating loyalty program communications based on a monitored physiological state includes: monitoring, with at least one processor, input data detected with at least one sensor coupled to an electronic device associated with a member profile; based on the monitored input data, for one or more of the at least one sensor, generating a baseline sensor input level associated with a baseline physiological state for the member profile; upon detection of a deviation of the monitored input data for one or more of the at least one sensor from the baseline sensor input level, identifying a non-baseline physiological state for the member profile; and based on the identified non-baseline physiological state, generating signals for communicating a loyalty program communication to the electronic device associated with the member profile.

First claim

1 . A method of dynamically generating loyalty program communications based on a monitored physiological state, the method comprising:
monitoring, with at least one processor, input data detected with at least one sensor coupled to an electronic device associated with a member profile; based on the monitored input data, for one or more of the at least one sensor, generating a baseline sensor input level associated with a baseline physiological state for the member profile; upon detection of a deviation of the monitored input data for one or more of the at least one sensor from the baseline sensor input level, identifying a non-baseline physiological state for the member profile; and based on the identified non-baseline physiological state, generating signals for communicating a loyalty program communication to the electronic device associated with the member profile.

2 . The method of claim 1 , comprising: identifying a location associated with the electronic device, and generating signals for communicating a location-based loyalty program communication based on the identified non-baseline physiological state.

3 . The method of claim 1 , comprising:
identifying from the monitored input data, aggravating environmental factors; adjusting the monitored input data based on the aggravating environmental factors; and detecting a deviation of the adjusted monitored input data for one or more of the at least one sensor from the baseline sensor input level.

4 . The method of claim 1 , comprising: identifying transaction data associated with the member profile, and generating signals for communicating a transaction-based loyalty program communication based on the identified non-baseline physiological state.

5 . The method of claim 4 , comprising: determining that a transaction associated with the transaction data occurred within a defined time period of the deviation of the monitored input data for one or more of the at least one sensor from the baseline sensor input level; and when the identified non-baseline physiological state is a negative physiological state, generating signals for communicating a rescue loyalty program communication.

6 . The method of claim 4 , comprising: determining that a transaction associated with the transaction data occurred within a defined time period of the deviation of the monitored input data for one or more of the at least one sensor from the baseline sensor input level; and when the identified non-baseline physiological state is a positive physiological state, generating signals for communicating a reinforcement loyalty program communication.

7 . The method of claim 4 , comprising: determining that a transaction associated with the transaction data occurred within a defined time period of the deviation of the monitored input data for one or more of the at least one sensor from the baseline sensor input level, the defined time period based on a transaction category identifier included in the transaction data.

8 . The method of claim 2 , wherein when the location associated with the electronic device is within a defined proximity of a merchant location, the location-based loyalty program communication includes data associated with a promotion generated based on the identified non-baseline physiological state.

9 . The method of claim 1 , comprising: based on the monitoring of the baseline physiological state, and the non-baseline physiological states, identifying a loyalty program activity associated with a non-baseline physiological state, and storing a class of loyalty program activity associated with the non-baseline physiological state in the member profile.

10 . The method of claim 1 , wherein monitoring the input data detected with the at least one sensor includes monitoring at least one of: video data, image data, voice data, heart rate data, body temperature data, brain activity data, perspiration data, blood pressure data, blood-sugar data, and touch screen force data.

11 . A system for dynamically generating loyalty program communications based on a monitored physiological state, the system comprising at least one processor configured for:
monitoring, with at least one processor, input data detected with at least one sensor coupled to an electronic device associated with a member profile; based on the monitored input data, for one or more of the at least one sensor, generating a baseline sensor input level associated with a baseline physiological state for the member profile; upon detection of a deviation of the monitored input data for one or more of the at least one sensor from the baseline sensor input level, identifying a non-baseline physiological state for the member profile; and based on the identified non-baseline physiological state, generating signals for communicating a loyalty program communication to the electronic device associated with the member profile.

12 . The system of claim 1 , comprising: identifying a location associated with the electronic device, and generating signals for communicating a location-based loyalty program communication based on the identified non-baseline physiological state;
wherein when the location associated with the electronic device is within a defined proximity of a merchant location, the location-based loyalty program communication includes data associated with a promotion generated based on the identified non-baseline physiological state.

13 . The system of claim 11 , comprising:
identifying from the monitored input data, aggravating environmental factors; adjusting the monitored input data based on the aggravating environmental factors; and detecting a deviation of the adjusted monitored input data for one or more of the at least one sensor from the baseline sensor input level.

14 . The system of claim 11 , comprising: identifying transaction data associated with the member profile, and generating signals for communicating a transaction-based loyalty program communication based on the identified non-baseline physiological state.

15 . The system of claim 14 , comprising: determining that a transaction associated with the transaction data occurred within a defined time period of the deviation of the monitored input data for one or more of the at least one sensor from the baseline sensor input level; and when the identified non-baseline physiological state is a negative physiological state, generating signals for communicating a rescue loyalty program communication.

16 . The system of claim 14 , comprising: determining that a transaction associated with the transaction data occurred within a defined time period of the deviation of the monitored input data for one or more of the at least one sensor from the baseline sensor input level; and when the identified non-baseline physiological state is a positive physiological state, generating signals for communicating a reinforcement loyalty program communication.

17 . The system of claim 14 , comprising: determining that a transaction associated with the transaction data occurred within a defined time period of the deviation of the monitored input data for one or more of the at least one sensor from the baseline sensor input level, the defined time period based on a transaction category identifier included in the transaction data.

18 . The system of claim 11 , comprising: based on the monitoring of the baseline physiological state, and the non-baseline physiological states, identifying a loyalty program activity associated with a non-baseline physiological state, and storing a class of the loyalty program act

Assignees

• Edatanetworks Inc

Inventors

• Tietzen Terrance Patrick
• Bates Matthew Arnold Macpherson

Classifications

• G06Q30/0226

  Incentive systems for frequent usage, e.g. frequent flyer miles programs or point systems · CPC title

• G06Q30/0201 Primary

  Market modelling; Market analysis; Collecting market data · CPC title